Estimating Interaction Strengths with Correlations in Annual Relative Weight: Interspecific Competition and Predation in Fishes, Pueblo Reservoir, Colorado

TL;DR

This study proposes using correlations of annual relative weights of fish species to estimate interaction strengths like competition and predation, offering a cost-effective alternative to traditional methods such as stomach content analysis.

Contribution

It introduces a novel approach to infer interaction strengths from relative weight correlations, reducing sampling costs and providing a practical tool for field ecological studies.

Findings

Positive correlations suggest competition between species.

Negative correlations indicate potential predation relationships.

Method offers a cost-effective alternative to traditional analysis.

Abstract

Quantifying interaction strength between species is of interest in food web studies for understanding population dynamics. Theory has run ahead of experiment in solving equations describing ecological systems (the Lotka-Volterra equations, for example). Modeling approaches depend upon quantitative knowledge of interaction strengths among species, yet there are few methods available for estimating strengths of interactions between species, especially in the field. Competition and predation in fishes is traditionally studied with a variety of methods, most requiring extensive sampling to determine stock densities or extensive stomach content or isotope analysis. Average relative weight of fish species in an ecosystem can usually be accurately determined with much smaller sample sizes than required for accurate determination of stock densities. Correlations of mean annual relative weights may be used to test hypotheses and establish interaction strengths regarding competition and predation among fishes. The trends are sufficiently suggestive to use a strong positive correlation as supporting evidence of competition and possibly indicative of the magnitude of competition if other evidence such as analysis of stomach contents is also present. Likewise, a strong negative correlation might be interpreted as relevant when forming a hypothesis of predation and as supporting evidence of the magnitude of predation if other evidence is also present. In systems where regular weight and length survey data are available, this method can suggest the likely strength of competitive and predatory relationships and may be more cost effective than stomach content or isotope analysis.